Optum is a global health technology organization dedicated to improving lives. Join our team to advance health optimization worldwide. We foster a culture of inclusion, offer comprehensive benefits, and provide career development opportunities.

Our mission is to help people live healthier lives and make the healthcare system more effective for everyone. We are committed to equity, addressing health disparities, and promoting healthier outcomes across diverse communities.

Design, build, and deploy secure, cloud-based applications and services. Develop both front-end and back-end components using React, TypeScript, Python, and SQL. Create scalable APIs and data-driven applications. Leverage AI-assisted tools to enhance productivity and code quality.

Integrate AI capabilities, including Generative AI and LLMs, into business applications. Contribute to AI-enabled solutions like RAG and intelligent search. Assist with agentic AI solutions, prompt engineering, and tool integration under senior guidance.

Collaborate with stakeholders to deliver end-to-end solutions for reporting, analytics, and automation. Participate in all phases of the software development lifecycle, adhering to Agile and Lean practices. Conduct code reviews and contribute to engineering excellence.

Build and support cloud-native solutions on Azure, including Azure OpenAI and AI Search. Support CI/CD automation, Infrastructure as Code, and DevOps practices using GitHub, Docker, and Kubernetes. Troubleshoot application and performance issues, ensuring reliability and meeting service-level objectives. Continuously learn and apply emerging AI and cloud technologies.

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Minimum 7 years of experience in Agile/Lean software development and 4 years in cloud environments (preferably Azure).

Proficiency in JavaScript, TypeScript, React, SQL, and modern web application development. Experience designing and deploying applications integrating LLMs, Generative AI, or AI agents. Solid experience with Python and modern API development practices.

Experience building scalable, secure enterprise applications using microservices and service-oriented architectures. Familiarity with Docker, Kubernetes, and cloud-native deployment. Experience with Infrastructure as Code, preferably Terraform. Hands-on experience with Azure AI services like Azure OpenAI and Azure AI Search.

Familiarity with AI application patterns such as RAG, prompt engineering, vector databases, and semantic search. Understanding of agent orchestration frameworks like Semantic Kernel or LangChain. Demonstrated ability to use AI-assisted development tools and contribute to agentic AI solutions. Strong communication and collaboration skills are essential.